langchain-python

A production-ready, scalable multi-agent system built with LangGraph, featuring specialized agents for different tasks with best coding practices.

Upload personal docs and Chat with your PDF files with this GPT4-powered app. Built with LangChain, Pinecone Vector Database, deployed on Streamlit

Production-ready RAG framework for Python — multi-tenant chatbots with streaming, tool calling, agent mode (LangGraph), vector search (FAISS), and persistent MongoDB memory. Built on LangChain.

META LLAMA3 GENAI Real World UseCases End To End Implementation Guide

A simple RAG chatbot that can retrieve from a mediawiki data dump

Knowledge base Q&A program using LangChain for retrieval-augmented prompting and PGVector as vector store.

A PDF Question-Answering App built with RAG (Retrieval-Augmented Generation), allowing users to upload PDFs and ask context-based questions. Powered by Streamlit, LangChain, Ollama, and Chroma for efficient and accurate answers.

Text summation using python, deep learning, machine learning, transformer, huggingface, openai and langchain

Build LLM-enabled FastAPI applications without build configuration.

Learn LangChain for Genearative AI with OpenAI API using Python

This project aims to provide an efficient and scalable API for embedding and storing vectors, leveraging the power of FastAPI, Langchain framework and a vector database such as Chroma.

An AI-powered quote generator bot that posts beautiful quotes to various social media platforms!